Social research and statistics Books

Book Synopsis*A WATERSTONES 'BEST POLITICAL BOOK OF THE YEAR'**A TIMES 'BEST PHILOSOPHY AND IDEAS' BOOK OF 2021**A GUARDIAN 'BEST POLITICS BOOKS OF THE YEAR'*LONGLISTED FOR THE 2022 BUSINESS BOOK AWARD'A brilliant manifesto explaining why women are still so underestimated and overlooked in today's world, but how we can also be hopeful for change' - Philippa Perry'An impassioned, meticulously argued and optimistic call to arms for anyone who cares about creating a fairer society' - Observer__________Imagine living in a world in which you were routinely patronised by women.Imagine having your views ignored or your expertise frequently challenged by them.Imagine people always addressing the woman you are with before you.Now imagine a world in which the reverse of this is true.The Authority Gap provides a startling perspective on the unseen bias at work in our everyday lives, to reveal the scale of the gap that still persists between men and women. Would you believe that US Supreme Court Justices are interrupted four times more often than male ones... 96% of the time by men? Or that British parents, when asked to estimate their child's IQ will place their son at 115 and their daughter at 107?Marshalling a wealth of data with precision and insight, and including interviews with pioneering women such as Baroness Hale, Mary Beard and Bernadine Evaristo, Mary Ann exposes unconscious bias in this fresh feminist take on how to address and counteract systemic sexism in ways that benefit us all.Includes interviews with pioneering women such as:Baroness HaleMary BeardBernadine EvaristoMary McAleeseJulia GillardDolly Alderton and Pandora SykesCherie BlairLiz TrussAmber RuddFrances MorrisLaura Bates__________'Hugely exciting' - Emily Maitlis'Deeply researched, profoundly thoughtful and a book very much for the here and now: Mary Ann Sieghart's The Authority Gap is the book she was probably born to write' - Andrew Marr'At last here is a credible roadmap that is capable of taking women from the margins to the centre by bridging the authority gap that holds back even the best and most talented of women. - Mary McAleese, Former President of IrelandTrade ReviewHere is a brilliant manifesto explaining why women are still so underestimated and overlooked in today's world, but how we can also be hopeful for change. * Philippa Perry *Just in case anyone still thinks the patriarchy is a figment of feminist imagination, this book will prove otherwise. Everyone needs to read The Authority Gap because in order to change our culture, we need to fully recognise the problem. * Bernadine Evaristo *An impassioned, meticulously argued and optimistic call to arms for anyone who cares about creating a fairer society. * Observer *Persuasive, arresting, punchy and incisive. * The Sunday Times *Crackling with controlled anger, it features some eye-popping stories and a stellar cast of interviewees, from presidential hopeful Hillary Clinton and former Danish prime minister Helle Thorning-Schmidt to the novelist Bernardine Evaristo. Buy it for any woman ever talked over in a meeting, or patronised by a man who knows less than them. -- Gaby Hinsliff * Guardian Best Political Books of 2021 *Deeply researched, profoundly thoughtful and a book very much for the here and now: Mary Ann Sieghart's The Authority Gap is the book she was probably born to write. It is both a warning tract for bombastic, dismissive men, and a cheerful manual for all ambitious women. * Andrew Marr *In The Authority Gap, Mary Ann Sieghart combines an absorbing review of the contemporary evidence on the systematic undervaluing of women with some powerful new insights. Whether you know a little or a lot about sexism and misogyny, there is much to learn from this book, including some very practical tips on creating change that you can implement the minute after you turn the last page. * Julia Gillard, Former Prime Minister of Australia *Fascinating, powerful...the subject is very close to my heart. * Elif Shafak *Hugely exciting. * Emily Maitlis *At last here is a credible roadmap that is capable of taking women from the margins to the centre by bridging the authority gap that holds back even the best and most talented of women. Read this and weep at what we are wasting. Read this and believe we can fly on two wings and soon. * Mary McAleese, Former President of Ireland *Well-written, illuminating... has some excellent statistics and arguments to understand better the gap that harms even very successful women. * FT *Fascinating, thorough, empowering... One of those books that takes something ubiquitous, that many have become desensitised to, and slowly exposes its far-reaching implications. * Guardian *You have to read this book. Honestly, you really do. Because if you don't, you won't know what life is really like. Whether you are a man or a woman, you are going to see your life as a parent, a partner, a colleague quite differently. * Daniel Finkelstein *This is an essential account of structural sexism and the price it exacts - but it is so much more. In her extensive research and command of the evidence, Mary Ann Sieghart delivers nothing less than a modern map of the way we live, think and interact - and how we can do so much better. A must-read by one of the most important public intellectuals at work today. * Matthew d'Ancona, Editor and Partner, Tortoise Media *Sieghart demonstrates through meticulous use of the research data that these manly sins are disproportionately likely to be directed by men against women, and that their cumulative effect can sometimes be enormous. * The Times *All men stand to benefit from this book, by becoming more self-aware. But it is also a great guide to how to work and live together more productively, by understanding our fellow human-beings better, be they female or male, colleagues, friends or family. * Bill Emmott *Passionate...gives plenty of evidence that the issue still matters. * Daily Mail *Captivating account of how sexism is still rife in the corridors of power. Sieghart writes with empathy, clarity and passion. The book is enormously authoritative, knitting together academic studies with interviews of leading public figures. * Irish Independent *Really thought-provoking and challenging. Every man should read it, and then become consciously more deferential to women who know more than you. * Johann Hari *Eye opening and gloriously galvanising ... Impassioned, meticulously argued and optimistic * Zoella *

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Book SynopsisThe third edition of this popular, innovative and engaging textbook introduces students to the various methods of modern social science, explaining how these have emerged, their strengths and limitations for understanding the world in which we live, and how it is possible to combine methodological pluralism with intellectual rigour. Focussing on the debate between positivist and constructivist approaches, this new edition features contemporary research examples, expanded discussion of experimental methods, and a new emphasis on methods that have recently grown in popularity, such as process tracing and controlled randomized trials. This is the perfect textbook for students studying the philosophy of science in the context of political science or the social sciences more broadly, and it is essential reading for all those seeking to understand how different ways of knowing affect the methods we choose to study social phenomena. New to this Edition:- Contemporary research examples- A Trade ReviewNo book does a better job rendering accessible so much of the history and concepts of philosophy of science for the budding social scientist. * Craig Parsons, University of Oregon, USA *Ways of Knowing is probably the best introductory book on the market on social science philosophy and methodologies. The book has been a regular part of the curriculum for 300 political science and social science students per year for almost 10 years at the University of Copenhagen. This is because both teachers and students are very satisfied with it. * Peter Nedergaard, University of Copenhagen, Denmark *With an elegant set-up, imaginative use of examples from inside and outside of academia, and unrelenting commitment to methodological pluralism, the third edition of Ways of Knowing remains the leading political science textbook on methodology. * Liam Stanley, University of Sheffield, UK *The social sciences are a site of deep and divisive debate about the nature of reality and how it ought to be studied, between positivists and interpretivists, econometricians and qualitative researchers, experimentalists and observationalists. In this lucid and innovative book, Moses and Knutsen help readers make sense of a multiplicity of empirical approaches by explicating the philosophical tenets of, and research strategies that flow from, two broad methodological outlooks: naturalism and constructivism. Surveying the most prominent methods in the social sciences (experimental, statistical, comparative, and narrative-historical) the authors show how both naturalists and constructivists scholars employ each of these frameworks, but on differing logics and toward differing knowledge-producing ends. For students of sociology or political science, this text will serve as an invaluable map of the methodological terrain while making a timely case for building intellectual bridges between traditions. * Alan M. Jacobs, University of British Columbia, Canada *With their third edition of Ways of Knowing, Moses and Knutsen carefully revise and update a must-have for every scholar of social and political research. Strengthening the strengths of their excellent textbook, they provide a comprehensive and insightful discussion of two main strands of social science methodologies and methods: naturalism and constructivism. * Rolf Frankenberger, University of Tübingen, Germany *This is an extremely clear, straightforward and well-exemplified guide to social science. Any student struggling to grasp the idea of a social science should read chapters 2 to 6 of this excellent book, which covers experiments, statistical analysis, comparison, and historical/case study approaches. The third edition further updates and expands the diversity of techniques within each camp. * Adrian Blau, King's College London, UK *Table of Contents1. Introduction 2. The Naturalist Philosophy of Science 3. The Experimental Method 4. The Statistical Method 5. The Comparative Method 6. History, Interviews and Case Studies 7. Sowing Doubts about the Naturalist Methodology 8. A Constructivist Philosophy of Science 9. From Story Telling to Telling Histories 10. Comparing Contexts 11. Contextualizing Statistics 12. Interpretive Experiments 13. Conclusion.

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Book SynopsisThis essential guide for education students and researchers explains how to use quantitative methods for analysing educational data using IBM SPSS Statistics. By using datasets from real-life educational research, it demonstrates key statistical techniques that you will need to know, explaining how each procedure can by run on IBM SPSS Statistics. Datasets discussed in the book are downloadable, allowing you to hone your skills as you read. In this third edition, explanations have been updated with figures and screenshots from SPSS version 28, alongside a range of new research examples and updated further reading. Daniel Muijs is Dean of the Faculty of Education and Society at Academica University of Applied Sciences in Amsterdam. Table of ContentsChapter 1. Introduction to quantitative research Chapter 2. Experimental and quasi-experimental research Chapter 3. Designing non-experimental studies Chapter 4. Validity, reliability and generalisability Chapter 5. Introduction to IBM SPSS Statistics and the data set Chapter 6. Univariate statistics Chapter 7. Bivariate analysis: comparing two groups Chapter 8. Bivariate analysis: looking at the relationship between two variables Chapter 9. Multivariate analysis: using regression models to look at the relationship between several predictors and one dependent variable Chapter 10. Using analysis of variance to compare more than two groups Chapter 11. Developing scales and measures: item and factor analysis Chapter 12. One step beyond: introduction to multilevel modelling and structural

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Book SynopsisAre you feeling anxious about statistics? This hands-on workbook is packed with clear explanations, real-world examples and practical exercises to give you the maths skills you need to tackle statistics with confidence. Grounded in a social science context, it features: · Clear introductions to symbols and tasks · Multiple choice questions and exercises · Real world case studies and datasets · A glossary of terms To help you practice, this book is accompanied by useful online resources, including datasets and questions, as well as a selection of author videos. Trade ReviewA friendly, accessible book to reawaken students’ latent maths knowledge. Written by a non-maths specialist, this book clearly shows students the importance of some of the core maths skills that they learnt in school and how those skills are at the heart of introductory data literacy. Using real world applied examples, this book will get them building confidence and competence with their numeracy skills, so often a barrier to students learning statistics and quantitative methods. -- Julie Scott Jones Having read through the book, in my opinion I think it is an excellent learning aid for introductory statistics. While some people may argue it is too simplistic to begin with, I disagree as students who come into university are not always straight out of school, some have never done statistics before or have not done it for several years and my simplifying it down to the bear basics, I feel the book provides a base to refresh the memory of students of which stats is a new concept. For students of which the concept of statistics comes naturally or is not a new concept to, they may not need this book as the lectures/course notes may be sufficient to learn the content. However, with this book acting as a learning assistant, students who struggle with maths have the opportunity to buy the book to guide them through the course and assist with their learning. ? I highly recommend this book, I think it has been well put together and would have loved to have the option of having this book during my stats course. Everyone learns differently, everyone has their strengths and weaknesses and in my opinion, in today′s world there is no such thing as ′too simple′. -- Shaun OliverRhys′ book on data analysis and quantitative methods is made easy for statistics aspirants! This book has made essential numeracy and quantitative skills so clear and easy to understand. In particular, the themes and data sets from different countries made my learning journey interesting. The case studies, exercises and visual aids provided in the book helped me improve my data analysis and interpretation skills, and sparked my interest in pursuing a statistics degree. If you are a returning student to university or statistics aspirant, I will certainly recommend this book to enrich your numeracy and data analysis skills. -- Lakshmi NarayananSome excellent and sustained work by Rhys Jones and colleagues at Cardiff underpins this book. The ideas, principles and approaches have all been tested under fire and adapted and modified to offer really effective tool to support those wishing to revisit their data skills before they move on to university or embark on the increasing number of degrees where avoiding data use is unavoidable. The book itself is really accessible and clear, building up gradually and carefully (where the experience of having taught this in the real world truly counts! -- Simon GallacherTable of ContentsIntroduction Essential Numeracy Percentages and Decimal Points Ratio and Proportions Tables Introduction to Statistics Graphs Exploring Data and Descriptive Statistics Observational Studies and Experiments Polls and Surveys How will I use Statistics?

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Book SynopsisStraightforward, clear, and applied, this book will give you the theoretical and practical basis you need to apply data analysis techniques to real data. Combining key statistical concepts with detailed technical advice, it addresses common themes and problems presented by real research, and shows you how to adjust your techniques and apply your statistical knowledge to a range of datasets. It also embeds code and software output throughout and is supported by online resources to enable practice and safe experimentation. The book includes: · Original case studies and data sets · Practical exercises and lists of commands for each chapter · Downloadable Stata programmes created to work alongside chapters · A wide range of detailed applications using Stata · Step-by-step guidance on writing the relevant code. This is the perfect text for anyone doing statistical research in the social sciences getting started using Stata for data analysis. Trade ReviewNewly updated, now with more advanced content, this book remains a must have for those studying applied statistics. The book is practically orientated with intuitive theoretical explanations, a wide array "how-to-do-it" examples and an engaging narrative. You won’t’ be sorry! -- Franz BuschaThis is a most impressive teaching and learning resource. Mehmetoglu and Jakobsen expertly introduce introductory to advanced social science data analysis skills in a clear and engaging manner. This text teaches students how to do data analysis in a transparent and principled manner. -- Roxanne ConnellyMehmetoglu and Jakobsen′s book offers a concise, yet comprehensive, introduction to the statistical methods that are widely used in data analysis. In addition to presenting a thorough overview of the basics of conducting empirical research, the book also emphasizes how to use Stata to analyze data in practice. This book is an excellent starting point for those who are interested in empirical work. -- Hector H. SandovalTable of ContentsChapter 1. Research and Statistics Chapter 2. Introduction to Stata Chapter 3. Simple (Bivariate) Regression Chapter 4. Multiple Regression Chapter 5. Dummy-Variable Regression Chapter 6. Interaction/Moderation Effects Using Regression Chapter 7. Linear Regression Assumptions and Diagnostics Chapter 8. Logistic Regression Chapter 9. Survival Analysis Chapter 10. Multilevel Analysis Chapter 11. Panel Data Analysis Chapter 12. Time Series Analysis Chapter 13. Exploratory Factor Analysis Chapter 14. Structural Equation Modelling and Confirmatory Factor Analysis Chapter 15. Advanced Statistical Techniques Chapter 16. Programming and Dynamic Reporting Using Stata

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Book SynopsisTaking stock of the most impressive achievements, terrific disasters and marvellous innovations that have changed our world, 2020 brings together fascinating facts and figures on subjects ranging from life-saving technological advancements to freak weather phenomena, outstanding sporting achievements to unexpected political shake-ups.

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Book SynopsisTable of Contents1. Psychology Is Alive and Well (and Doing Fine Among the Sciences) The Freud Problem The Diversity of Modern Psychology Implications of Diversity Unity in Science What, Then, Is Science? Systematic Empiricism Publicly Verifiable Knowledge: Replication and Peer Review Empirically Solvable Problems: Scientists’ Search for Testable Theories Psychology and Folk Wisdom: The Problem with “Common Sense” Psychology as a Young Science Summary 2. Falsifiability: How to Foil Little Green Men in the Head Theories and the Falsifiability Criterion The Theory of Knocking Rhythms Freud and Falsifiability The Little Green Men Not All Confirmations Are Equal Falsifiability and Folk Wisdom The Freedom to Admit a Mistake Thoughts Are Cheap Errors in Science: Getting Closer to the Truth Summary 3. Operationism and Essentialism: “But, Doctor, What Does It Really Mean?” Why Scientists Are Not Essentialists Essentialists Like to Argue About the Meaning of Words Operationists Link Concepts to Observable Events Reliability and Validity Direct and Indirect Operational Definitions Scientific Concepts Evolve Operational Definitions in Psychology Operationism as a Humanizing Force Essentialist Questions and the Misunderstanding of Psychology Operationism and the Phrasing of Psychological Questions Summary 4. Testimonials and Case Study Evidence: Placebo Effects and the Amazing Randi The Place of the Case Study Why Testimonials Are Worthless: Placebo Effects The “Vividness” Problem The Overwhelming Impact of the Single Case The Amazing Randi: Fighting Fire with Fire Testimonials Open the Door to Pseudoscience Summary 5. Correlation and Causation: Birth Control by the Toaster Method The Third-Variable Problem: Goldberger and Pellagra Why Goldberger’s Evidence Was Better The Directionality Problem Selection Bias Summary 6. Getting Things Under Control: The Case of Clever Hans Snow and Cholera Comparison, Control, and Manipulation Random Assignment in Conjunction with Manipulation Defines the True Experiment The Importance of Control Groups The Case of Clever Hans, the Wonder Horse Clever Hans in the 1990s Prying Variables Apart: Special Conditions Intuitive Physics Intuitive Psychology Summary 7. “But It’s Not Real Life!”: The “Artificiality” Criticism and Psychology Why Natural Isn’t Always Necessary The “Random Sample” Confusion The Random Assignment Versus Random Sample Distinction Theory-Driven Research Versus Direct Applications Applications of Psychological Theory The “College Sophomore” Problem The Real-Life and College Sophomore Problems in Perspective Summary 8. Avoiding the Einstein Syndrome: The Importance of Converging Evidence The Connectivity Principle A Consumer’s Rule: Beware of Violations of Connectivity The “Great-Leap” Model Versus the Gradual-Synthesis Model Converging Evidence: Progress Despite Flaws Converging Evidence in Psychology Scientific Conse

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Book Synopsis‘Morland predicts the future of humanity in 10 illuminating statistics (could the Japanese and Italians now go the way of the dodo?) and looks back to how ebbs and flows of population have shaped history, such as the Soviet Union’s plummeting birth rate in the 1960s, which hastened the end of the Cold War.’ - The Daily Telegraph ‘The Best Books for Summer 2022’The great forces of population change – the balance of births, deaths and migrations – have made the world what it is today. They have determined which countries are superpowers and which languish in relative obscurity, which economies top the international league tables and which are at best also-rans.The same forces that have shaped our past and present are shaping our future. Illustrating this through ten illuminating indicators, from the fertility rate in Singapore (one) to the median age in Catalonia (forty-three), Paul Morland shows how demography is both a powerful and an under-appreciated lens through which to view the global transformations that are currently underway.Tomorrow’s People ranges from the countries of West Africa where the tendency towards large families is combining with falling infant mortality to create the greatest population explosion ever witnessed, to the countries of East Asia and Southern Europe where generations of low birth-rate and rising life expectancy are creating the oldest populations in history. Morland explores the geographical movements of peoples that are already under way – portents for still larger migrations ahead – which are radically changing the cultural, ethnic and religious composition of many societies across the globe, and in their turn creating political reaction that can be observed from Brexit to the rise of Donald Trump. Finally, he looks at the two underlying motors of change – remarkable rises in levels of education and burgeoning food production – which have made all these epochal developments possible.Tomorrow’s People provides a fascinating, illuminating and thought-provoking tour of an emerging new world. Nobody who wants to understand that world should be without it.Trade ReviewMorland predicts the future of humanity in 10 illuminating statistics (could the Japanese and Italians now go the way of the dodo?) and looks back to how ebbs and flows of population have shaped history, such as the Soviet Union’s plummeting birth rate in the 1960s, which hastened the end of the Cold War. * The Daily Telegraph *Compulsively readable. Regarding the cultural and political implications of enormous pending shifts in human population, Morland manages to remain admirably neutral; readers can draw their own conclusions. Will the future be better or worse? Only one thing is certain: it will be very, very different. -- Lionel ShriverPaul Morland provides the demographic key to understanding so much of recent history and contemporary society - from Chinese cities, to global ageing and the rise of Africa. With great authority and an eye for the vivid detail he opens a door that I was scarcely aware of, persuading me that demography really is the master social science. -- David GoodhartAn accomplished whistle stop tour of world demographics. -- Danny Dorling, Halford Mackinder Professor of Geography, University of OxfordPaul Morland is emerging as the foremost chronicler of today’s global demographic revolution. Through ten striking numbers, Tomorrow’s People relates the breath-taking social changes produced by the spatially uneven transition from population explosion to decline. -- Eric Kaufmann, Professor of Politics, Birkbeck, University of London

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In his signature pragmatic and friendly style, David Silverman acts as your stand-in supervisor in the seventh edition of this book, taking you step-by-step through different methods for making sense of qualitative data. Whether you are interested in analysing visual images, interviews, focus groups or online data, this book provides a clear framework for using qualitative data to answer your research questions. The book provides: • A strong grounding in research design principles so you can embed best practice into your research project. • Diverse real-world examples so you can see how principles are applied in practice. • Coverage of new developments in qualitative research including working with online data. If you are new to qualitative research or conducting your first research project in the social sciences, this book gives you the practical grounding in qualitative methods you need to get started.

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Book SynopsisCompleting a systematic review and unsure where to start or what path to take? Set out on your journey confidently with this practical guide written by a team of experienced academics. With a friendly, accessible style, the book covers every step of the systematic review process, from planning to dissemination. This book will help you to: • Work with qualitative, quantitative and mixed methods data • Understand the how-to of systematic reviews with a range of real-life examples and case studies • Learn from students who have been in your shoes with FAQs taken from actual supervision meetings. This book will not only support you to overcome common challenges and pitfalls, it will give you the knowledge and skills to produce an excellent review and you might even enjoy the journey! Alongside updated examples and case studies, this edition also includes two new chapters to help you write and register your review protocol and understand and synthesise data from correlational and experimental studies. The book is accompanied by an online guide for teaching, including videos, example documents, further reading, software recommendations and weblinks.Trade Review′This is an excellent resource for researchers of all levels looking to conduct a systematic review. User friendly, logical and well structured, the book holds the hand of the reader through each step of conducting a systematic reviews. I would recommend this resource unreservedly′ -- Rhodri LloydTable of ContentsChapter 1: What is a Systematic Review? Chapter 2: Planning and Managing My Review Chapter 3: Defining My Review Question and Identifying Inclusion and Exclusion Criteria Chapter 4: Writing a Protocol Chapter 5: Developing My Search Strategy Chapter 6: Applying Inclusion and Exclusion Criteria Chapter 7: Data Extraction: Where Do I Begin? Chapter 8: Quality Assessment: Where Do I Begin? Chapter 9: Understanding and Critically Appraising Data from Experimental and Correlational Studies Chapter 10: Understanding and Synthesizing Numerical Data from Intervention Studies Chapter 11: Understanding and Synthesizing Qualitative Data Chapter 12: Reviewing Economic Evaluations Chapter 13: Writing My Discussion and Conclusions Chapter 14: Disseminating My Review

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Book SynopsisWelcome to the all-new, revised and revamped edition! Embark on an exciting journey into the future, using trend research as your compass. Take a deep dive into the future with this book as your trusty companion. "How to Research Trends" shows you how to navigate and explore using the powerful tool of trend research. Learn how to scan the environment for signs of change, analyze trend spots, and apply insights to kickstart innovation. This revised edition is designed for professionals who want to incorporate trend research into their own work. It features new interviews with professionals and agencies, as well as new theories, including Shalom Schwartz's human values model and Sharpe's Three Horizons Framework. Learn how to use trend research to explore the future, and you'll be prepared for change and the uncertainties it brings. Interviews with professionals that provide insights on how to implement trends. Various activities and tools to be used individually or in a team. A dedicated chapter on how to set up your own trend practice within your organisation.

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Book SynopsisGiven the extreme variety of research issues under investigation today and the multi-million-dollar industry surrounding research, it becomes extremely important that we ensure that research involving Indigenous peoples is ethically as well as methodologically relevant, according to the needs and desires of Indigenous peoples themselves. This distinctive volume presents Indigenous research as strong and self-determined with theories, ethics and methodologies arising from within unique cultural contexts. Yet the volume makes clear that challenges remain, such as working in mainstream institutions that may not regard the work of Indigenous researchers as legitimate ‘science’. In addition, it explores a twenty-first-century challenge for Indigenous people researching with their own people, namely the ethical questions that must be addressed when dealing with Indigenous organisations and tribal corporations that have fought for – and won – power and money. The volume also analyses Indigenous/non-Indigenous research partnerships, outlining how they developed respectful and reciprocal relationships of benefit for all, and argues that these kinds of best practice research guidelines are of value to all research communities.Table of ContentsChapter 1. An Introduction to Indigenous Research Ethics; Lily George, Lindsey MacDonald, and Juan TauriPart One - Challenges of Mainstream Institutions Chapter 2. Ethical Conduct in Indigenous Research: It's Just Good Manners; Juanita Sherwood, and Thalia Anthony; Chapter 3. Developing Ethical Standards in Criminology and Criminal Justice Research: A Focus on Indigenous Australian Peoples; Debbie Bargallie, Chris Cunneen, Elena Marchetti, Juan Tauri, and Megan Williams; Chapter 4. Vision Mātauranga, Eclectic Anthropology, and The Fading Empire; Marama Muru-lanning; Chapter 5. Data Ethics and Data Governance From a Māori Worldview;Kiri West; Maui Hudson, and Tahu Kukutai Chapter 6. Autoethnography and Ethics: Sovereignty, Self-determination, and Strategies; Julie Bull; Chapter 7. Engaging with 'That Treaty Question' on a University Ethics Committee in Aotearoa New Zealand; Lorena Gibson, O. Ripeka Mercier, and Rebecca Kiddle Chapter 8. The Practice of Engaging Aboriginal and Torres Strait Islander Communities in Genome Research; Sharon Huebner, Azure Hermes, and Simon Easteal Part Two - Indigenous Research Chapter 9. I Try to Keep Quiet but My Ancestors Dont Let Me; Cherryl Waerea-i-te-rangi Smith Chapter 10. "I was Hurt, But Now I am Strong" The Story of A Cultural, Social, and Emotional Wellbeing Programme; Pat Dudgeon, Angela Ryder, Carolyn Mascall, and Maddie Boe Chapter 11. Implementing Indigenous Research Ethics at The Interface; Amohia Boulton; Chapter 12. Kebi Paser: The Small Hill Approach to Research, Ethics and Cultural Protocols; Gretchen Stolte, Noel Zaro, and Kaylynn Zaro ; Chapter 13. Stable or Changing? Revealing Patterns of Cultural Influences on The Discourses of Research Ethics; Angus Hikairo MacFarlane, Fiona Duckworth, and Sonja MacFarlane; Part Three - Indigenous/Non-Indigenous Partnerships Chapter 14. Decolonising Māori-Pākehā Research Collaborations: Towards an Ethics of Whanaungatanga and Manaakitanga in Cross-Cultural Research Relationships; Tarapuhi Vaeau, and Catherine Trundle Chapter 15. Kei Tua o te Arai (beyond the veil): Taonga Puoro and Contemporary Technologies in Musical Conversation; Horomona Horo, and Jeremy Mayall Chapter 16. Yuta Anthropology Miyarrka Media; Chapter 17. What does a Shared Space Look Like? A Dialogue of a Research Partnership; Wiremu T. Puke, and Sebastian J. Lowe; Chapter 18. The Struggle Against Neo-Colonial Academic Exoticizing in Postgraduate Research; Rhea Lewthwaite, and Antje Deckert; Chapter 19. A Deeper Deep Listening: Doing Pre-ethics Fieldwork in Aotearoa New zealand; Sebastian J. Lowe, Lily George, and Jennifer Deger

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Book SynopsisThisFifth Editionof Neil J. Salkind'sStatistics for People Who (Think They) Hate Statistics: Using Microsoft Excel, presents an often intimidating and difficult subject in a way that is clear, informative, and personable. Opening with an introduction to Excel, including coverage of how to use functions and formulas, this edition shows students how to install the Excel Data Analysis Tools option to access a host of useful analytical techniques. New to theFifth Editionis new co-author Bruce Frey who has added a new feature on statisticians throughout history (with a focus on the contributions of women and people of color). He has updated the Real-World Stats feature, and added more on effect sizes, updated the discussions on hypotheses, measurement concepts like validity and reliability, and has more closely tied analytical choices to the level of measurement of variables.

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Book SynopsisFor students and researchers new to mixed methods,A Concise Introduction to Mixed Methods Research2e by renowned author John W. Creswell provides a brief and practical introduction to mixed methods. Many graduate students and researchers in the social, behavioral and health sciences may not have the time or resources to read long treatises or stacks of journal articles on mixed methods research. This text quickly describes the basics of setting up and conducting a study using this methodology. Chapters are short and follow the process of research, from ensuring skills for conducting research, acknowledging the steps in planning a study, designing studies with increasing complexity, planning sampling strategies and integration, and writing up the results of your study. Get started in mixed methods quickly with this brief primer.

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Book SynopsisW. Lawrence Neuman James is professor of sociology and Asian Studies coordinator at University of Wisconsin-Whitewater. His M.A. and Ph.D. were earned at the University of Wisconsin-Madison. He has authored seven books and published 35 articles and book chapters, which have appeared in Social Problems, Sociological Inquiry, Social Science Quarterly, American Sociological Review, Critical Asian Studies, Teaching Sociology, The Journal of Contemporary Asia, Sociological Quarterly, and other journals . He is a former president of the Wisconsin Sociological Association. Neuman has received his university's highest award for research, the Chancellor's Award for service to students with disabilities, as well as the the Wisconsin Sociological Association's Outstanding Service Award, and the College of Letters and Sciences awards for outstanding teaching, excellence in research, and outstanding service.Table of Contents Part I Foundations Chapter 1 Why Do Research? Chapter 2 What Are the Major Types of Social Research? Chapter 3 Theory and Research Chapter 4 The Meanings of Methodology Chapter 5 How to Review the Literature and Conduct Ethical Studies Part II Planning and Preparation Chapter 6 Strategies of Research Design Chapter 7 Qualitative and Quantitative Measurement Chapter 8 Qualitative and Quantitative Sampling Part III Quantitative Data Collection and Analysis Chapter 9 Experimental Research Chapter 10 Survey Research Chapter 11 Nonreactive Research and Secondary Analysis Chapter 12 Analysis of Quantitative Data Part IV Qualitative Data Collection and Analysis Chapter 13 Field Research and Focus Group Research Chapter 14 Historical-Comparative Research Chapter 15 Analysis of Qualitative Data Part V Communicating with Others Chapter 16 Writing the Research Report and the Politics of Social Research

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Book SynopsisThis unique textbook provides an introduction to statistical inference with network data. The authors present a self-contained derivation and mathematical formulation of methods, review examples, and real-world applications, as well as provide data and code in the R environment that can be customised. Inferential network analysis transcends fields, and examples from across the social sciences are discussed (from management to electoral politics), which can be adapted and applied to a panorama of research. From scholars to undergraduates, spanning the social, mathematical, computational and physical sciences, readers will be introduced to inferential network models and their extensions. The exponential random graph model and latent space network model are paid particular attention and, fundamentally, the reader is given the tools to independently conduct their own analyses.Trade Review'The family of exponential random graph models have advanced with a number of extensions in recent years, many of them developed by the present authors. Encapsulating these advances with other methods of inferential analysis in a single reference that combines essential theory with hands-on examples makes this book a must-have for network modeling practitioners who want to use these powerful tools.' Peter Mucha, UNC Chapel HillTable of ContentsPart I. Dependence and Interdependence: 1. Promises and Pitfalls of Inferential Network Analysis; 2. Detecting and Adjusting for Network Dependencies; Part II. The Family of Exponential Random Graph Models (ERGMs): 3. The Basic ERGM; 4. ERGM Specification; 5. Estimation and Degeneracy; 6. ERG Type Models for Longitudinally Observed Networks; 7. Valued-Edge ERGMs: The Generalized ERGM (GERGM); Part III. Latent Space Network Models: 8. The Basic Latent Space Model; 9. Identification, Estimation and Interpretation of the Latent Space Model; 10. Extending the Latent Space Model.

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Book SynopsisThis is the first book to deliver a comprehensive guide to research methods in all types of interpreting. It brings together the expertise of two world-recognized scholars in spoken and signed language interpreting to cover the full scope of the discipline. It features questions, prompts and exercises throughout to highlight key concepts, provoke thought and encourage reader interaction. It deals fully with research in both conference and community interpreting, offering a variety of perspectives on both. Core areas such as reading and analyzing research literature, practical issues in research and producing research reports are all covered. This book is an indispensable tool for students and researchers of Interpreting as well as professionals and interpreter trainers.Trade ReviewAs a practitioner, researcher and educator in the field of interpreting for over two decades, I would recommend this book as an outstanding resource to anyone involved in interpreting or linguistics research. * New Zealand Studies in Applied Linguistics *This book is a blessing both for students making their first tentative steps into the world of research and also for more experienced academic staff who may be supervising dissertations and theses for the first time. It is a clearly written, step by step guide designed to demystify the often arcane field of linguistics research. Whilst aimed primarily at students and practitioners of Interpreting Studies, it could also be an excellent resource for students of other disciplines. -- Jo Anna Burn * The International Journal of Interpreter Education Volume 1 *Hale and Napier's practical guide to research methods in interpreting provides a good and comprehensive overview of some of the more traditional and well-established empirical records in the field. -- Kilian G. Seeber * Interpreting, Vol 17:1 *In a field so reliant on empirical studies using a range of methodological approaches, this timely book offers much-needed and eminently user-oriented guidance. Hale and Napier excel in combining a well-founded presentation of key concepts and techniques in empirical research with illustrative hands-on instruction. Rich in up-to-date sources and relevant examples, this volume is an invaluable asset to novice researchers and to the interpreting studies community at large. -- Franz Pöchhacker, Associate Professor of Interpreting Studies * University of Vienna, Austria *This is a wonderful addition to the field of interpretation, offering structure and insight into the research methodologies that are available to researchers working with spoken and signed language interpreting. It also demystifies the research process by providing examples that are not only relevant, but that lead the reader to further sources of inspiration and knowledge. Napier and Hale have produced an excellent resource for emerging researchers, and our communities of practice will be the better for having this text. -- Debra Russell, David Peikoff Chair of Deaf Studies * University of Alberta, Canada *Hale and Napier bring their expertise to co-author an outstanding pragmatic contribution to the Interpreting research field. The book provides insightful guidelines for Interpreting PhD candidates embarking on the research journey, as well as for Interpreting educators and students who could equally benefit from this articulate, insightful and methodically presented book. * Australian Review of Applied Linguistics *[T]he first textbook which seeks to cover the needs of beginners, holistically and systematically. -- Daniel Gile * Meta 16:1 *Table of ContentsChapter 1: What is research and why do we do it? Chapter 2: Critical reading and writing Chapter 3: Questionnaires in Interpreting research Chapter 4: Ethnographic research on interpreting Chapter 5: Discourse analysis in Interpreting research Chapter 6: Experimental methods in interpreting research Chapter 7: Research on interpreting education and assessment Chapter 8: Conducting and disseminating interpreting research References Index

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Book SynopsisUsing two key visual pedagogical tools, this book shows you how to produce vibrant and stimulating in-depth qualitative research that draws on data readily available via the internet. Concise, practical and jam-packed with valuable tips, this book will enable you to complete a successful desk-based research project you can be proud of.Trade Review"Provides great guidance on how to do desk-based research. Covers all aspects of doing desk-based research. A great resource for undergraduate students." Erin Pritchard, Liverpool Hope UniversityTable of ContentsThe structure of this book and how to use it Part 1: Preparing the ground 1. Introduction 2. Choosing a topic 3. Keeping a research journal 4. Writing a strong research proposal Part 2: Assembling the structure 5. The importance of your research question 6. Context, background and introduction 7. Selecting high quality data resources 8. Literature review 9. Desk-based methodologies 10. Ethics 11. Data analysis and techniques 12. Writing conclusions and recommendations Part 3: Keeping your tent stable and secure 13. Getting the support you need 14. Managing desk-based research

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Book SynopsisThis new edition of the SAGE Handbook of Qualitative Research represents the sixth generation of the ongoing conversation about the discipline, practice, and conduct of qualitative inquiry. As with earlier editions, the Sixth Editionis virtually a new volume, with 27 of the 34 chapters representing new topics or approaches not seen in the previous edition, including intersectionality; critical disability research; postcolonial and decolonized knowledge; diffraction and intra-action; social media methodologies; thematic analysis, collaborative inquiry from the borderlands; qualitative inquiry and public health science; co-production and the politics of impact; publishing qualitative research; and academic survival.Authors in the Sixth Edition engage with questions of ontology and epistemology, the politics of the research act, the changing landscape of higher education, and the role qualitative researchers play in contributing to a more just, egalitarian society. To mark the Handbook's 30-year history, we are pleased to offer a bonus PART VI in the eBook versions of the Sixth Edition: this additional section brings together and reprints ten of the most famous or game-changing contributions from the previous five editions. You can bundle the print + eBook version with bundle ISBN: 978-1-0719-2874-5.Trade Review"This is a great book, and they have done a great job evolving the contents through all these years. We are deeply indebted to the authors, whose knowledge and experience has enriched the field of research." -- Masoud GhaffariTable of ContentsIntroduction: The Discipline and Practice of Qualitative Research - Norman K. Denzin, Yvonna S. Lincoln, Michael D. Giardina, and Gaile S. Cannella Part I: Locating the Field A History of Qualitative Inquiry in Social and Educational Research - Frederick Erickson Ethics, Research Regulations, and Critical Qualitative Science - Gaile S. Cannella and Yvonna S. Lincoln Paradigmatic Controversies, Contradictions, and Emerging Confluences, Revisited - Yvonna S. Lincoln, Susan A. Lynham, and Egon G. Guba Part II: Philosophies of Inquiry Feminist Inquiry - Bronwyn Davies Critical Race Theory and the Postracial Imaginary - Jamel K. Donnor and Gloria Ladson-Billings Intersectionality Methodology: A Qualitative Research Imperative for Black Women’s Lives - Chayla Haynes, Saran Stewart, and Lori D. Patton Queer/Quare Theory: Worldmaking and Methodologies (Revisited) - Bryant Keith Alexander Critical Disability Studies and Diverse Bodyminds in Qualitative Inquiry - Emily A. Nusbaum & Jessica Nina Lester Critical Post-Intentional Phenomenological Inquiry (crit-PIP): Why it Matters and What it Can Do - Mark D. Vagle, Keitha-Gail Martin-Kerr, Jana LoBello Miller, Bisola Wald, & Hazen Fairbanks Why We Do Indigenous Methodologies: Contemplations On Indigenous Protocol, Theory and Method - Sweeney Windchief, Timothy San Pedro, and Margaret Kovach Postcolonial and Decolonized Knowing: Speaking “Nearby”: A Letter to Rekha - Devika Chawla Poststructural Engagements - Aaron M. Kuntz Agential Realism, Intra-Action, and Diffractive Methodology - Serge F. Hein Part III: Practices of Inquiry Examining the ‘inside lives’ of research interviews - Kathryn Roulston Observation in a Surveilled World - Jack Bratich Ethnographic Futures: Embodied, Diffractive, and Decolonizing Approaches - Michael D. Giardina and Michele K. Donnelly Critical Situational Analysis after the Interpretive Turn - Adele E. Clarke, Carrie Friese & Rachel Washburn Thematic Analysis - Virginia Braun and Victoria Clarke Qualitative Social Media Methods: Netnography in the Age of Technocultures - Robert V. Kozinets and Ulrike Gretzel Autoethnography as Becoming-with - Tony E. Adams and Stacy Holman Jones Performance Shapes for Qualitative Inquiry - Johnny Saldaña The Arts as Research: Nomadic Materiality and Possible Futures - Richard Siegesmund Communicative Methodology: Working Together with the Roma Community for Improving Their Lives - Aitor Gómez Gonzalez Betweener Autoethnographies: Collaborative Inquiry from the Borderlands - Claudio Moreira and Marcelo Diversi Part IV: The Politics of Evidence, Science, and Knowledge Qualitative Inquiry and Public Health Science: Case Studies from the COVID-19 Pandemic - Trisha Greenhalgh and Ama de-Graft Aikins Science, evidence and the development of policy and practice: Can Qualitative Research Make a Different Contribution? - Harry Torrance Co-production and Impact: Challenges and Opportunities - Brett Smith and Kerry R. McGannon The Elephant in the Living Room, or, Extending the Conversation about the Politics of Evidence, Part 2 - Norman K. Denzin Backsliding Toward Illiberal Democracy & Authoritarianism: Qualitative Inquiry, Academic Freedom, and Technologies of Governance - Marc Spooner Part V: Into the Future Academic Survival: Qualitative Researchers in the Neoliberal Academy - Julianne Cheek Publishing and Reviewing Qualitative Research - Mitchell Allen Qualitative Inquiry and Posthuman Futures: Justice and Challenging the Human/Nonhuman Life Dichotomy - Mirka Koro and Gaile S. Cannella The Future of Qualitative Research - Norman K. Denzin, Yvonna S. Lincoln, Michael D. Giardina, and Gaile S. Cannella

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Book SynopsisThe 101 nuggets of understanding that comprise this book shed light on the required content of a qualitative dissertation. They help readers navigate through the iterative, recursive, and often messy dissertation process, from its inception to a successful completion right from the planning stage, through data collection and analysis, all the way to writing up, presenting, and publishing. Each nugget is posed in the form of a question, as if in conversation with the reader, and will hopefully stimulate critical thinking, reflection, and dialogue.

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Book SynopsisTable of Contents Chapter 1 Curiosity, Creativity, and Commitment Chapter 2 Research is a Process of Inquiry Chapter 3 The Starting Point: Asking Questions Chapter 4 Data and the Nature of Measurement Chapter 5 Statistical Analysis of Data Chapter 6 Field Research: Naturalistic and Case Study Research Chapter 7 Correlational and Differential Methods of Research Chapter 8 Hypothesis Testing, Validity, and Threats to Validity Chapter 9 Controls to Reduce Threats to Validity Chapter 10 Single-Variable, Independent-Groups Designs Chapter 11 Correlated-Groups and Single-Subject Designs Chapter 12 Factorial Designs Chapter 13 A Second Look at Field Research: Field Experiments, Program Evaluation, and Survey Research Appendix A Using the Student Resource Website Appendix B Writing a Research Report in APA Publication Style Appendix C Conducting Library Research Appendix D Selecting Statistical Procedures Appendix E Research Design Checklist Appendix F Meta-Analysis Appendix G Random Numbers Appendix H Answers to Quick-Check Review Questions Glossary References Name Index Subject Index

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Book Synopsis'Written in an authoritative and accessible style, this is a must-read for anyone planning, researching and writing a doctoral thesis or dissertation. I will certainly be recommending this book to my research students.'- Professor Goeffrey Elliott, University of Worcester 'Paul's book was a lifeline during my doctorate: it is now the first book that I recommend for my research students! His book is easily accessible, full of practical advice, and provides useful study strategies to carefully guide you - this third edition is a valuable asset wherever you are on your doctoral journey.'- Dr Scott Buckler, University of Worcester Based on his extensive experience as a successful thesis supervisor, Paul Oliver shows you how to turn your notes and data into a finished Masters or PhD thesis or dissertation. Fully up-to-date with current HEFCE/other EU requirements, the book sets out a template for you to foTrade Review′Written in an authoritative and accessible style, this is a must-read for anyone planning, researching and writing a doctoral thesis or dissertation. I will certainly be recommending this book to my research students.′ -- Professor Goeffrey Elliott′Paul′s book was a lifeline during my doctorate: it is now the first book that I recommend for my research students! His book is easily accessible, full of practical advice, and provides useful study strategies to carefully guide you - this third edition is a valuable asset wherever you are on your doctoral journey.′ -- Dr Scott BucklerTable of ContentsPART ONE: THE PROCESS OF ACADEMIC WRITING The Research Thesis The Intellectual Content Of The Thesis Organizing Your Work The Role Of The Supervisor Your Role As A Student Grammar, Punctuation And Conventions Of Academic Writing Layout Of The Thesis PART TWO: WRITING YOUR THESIS The Preliminary Pages And The Introduction The Literature Review General Issues Concerning The Literature Review Online Literature Searching Methodology The Data Analysis Chapters The Conclusion Completing The Thesis Publishing Findings During Preparation Of The Thesis The Oral Examination

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Book SynopsisApproaches to Mixed Methods Research focuses on the choices social scientists make when designing a study that mixes quantitative and qualitative data. Authors Lisa D. Pearce and Jessica Halliday Hardie explore ways to weave together strands of research using qualitative and quantitative data to speak to and enhance each other; a strand being a series of steps involved in collecting and analyzing a single type of data. The result, they show, is a more holistic body of evidence that emerges, and they illustrate this with examples from a wide range of studies from the United States and other countries.

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Book SynopsisThis book demonstrates the importance of computer-generated statistical analyses in behavioral science research, particularly those using the R software environment. Statistical methods are being increasingly developed and refined by computer scientists, with expertise in writing efficient and elegant computer code. Unfortunately, many researchers lack this programming background, leaving them to accept on faith the black-box output that emerges from the sophisticated statistical models they frequently use. Building on the author’s previous volume, Linear Models in Matrix Form, this text bridges the gap between computer science and research application, providing easy-to-follow computer code for many statistical analyses using the R software environment. The text opens with a foundational section on linear algebra, then covers a variety of advanced topics, including robust regression, model selection based on bias and efficiency, nonlinear models and optimization routines, generalized linear models, and survival and time-series analysis. Each section concludes with a presentation of the computer code used to illuminate the analysis, as well as pointers to packages in R that can be used for similar analyses and nonstandard cases. The accessible code and breadth of topics make this book an ideal tool for graduate students or researchers in the behavioral sciences who are interested in performing advanced statistical analyses without having a sophisticated background in computer science and mathematics.Table of ContentsLinear Equations.- Least Squares Estimation.- Linear Regression.- Eigen Decomposition.- Singular Value Decomposition.- Generalized Least Squares Estimation.- Robust Regression.- Model Selection and Biased Estimation.- Cubic Splines and Additive Models.- Nonlinear Regression and Optimization.- Generalized Linear Models.- Survival Analysis.- Time Series Analysis.- Mixed Effects Models.

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Book SynopsisTrade Review"[Healy’s] prose is engaging and chatty, and the style of instruction is unpretentious and practical . . . This single volume represents an excellent entry point for those wishing to upskill their abilities in data visualization."---Paul Cuffe, IEEE Transactions"Undoubtedly, this book is an excellent introduction to an essential tool for anyone who needs to collect and present data." * Conservation Biology *

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Book SynopsisResearch Methods for Sports Studies is a comprehensive, engaging and practical textbook that provides a grounding in qualitative and quantitative research for students studying programmes related to sport and physical activity. Leading the reader step-by-step through the entire research process, from identifying a research question and collecting and analysing data to writing and presenting the research report, the book is richly illustrated throughout with sport-related case studies and examples from around the world. Research Methods for Sports Studies is designed to be a complete and self-contained companion to any research methods course and contains a wealth of useful features, such as highlighted definitions of key terms, all-new case studies from active researchers and practical research exercises. Now in a revised and updated fourth edition, and in full colour for the first time, the book features expanded coverage of key topics such as online research, Trade Review'Research Methods for Sports Studies has been my go-to text since I first started teaching undergraduate research methods to sport and leisure students. While research methods textbooks have burgeoned, I have continued to find this book really useful. The book has helped me to teach my undergraduate classes in a more practical and hands-on way, focusing on research as a process, using the suggested activities. Written in an accessible way, the book covers all of the essentials of both quantitative and qualitative research and demystifies the process of doing research. My students have found the explanations of positivism and the ways ontological and epistemological standpoints influence the methodological decisions they make accessible. Students embarking on their own research projects have also found the book helped to make the process less daunting. Now in its fourth edition, it includes some useful new sections and chapters such as the importance of social media, and its impact on various truth claims. It also comes with useful resources for time-pressed teachers.'Belinda Wheaton, Professor, School of Health, University of Waikato, Aotearoa New ZealandTable of Contents1. What is Research?, 2. Research Traditions in Sport, 3. The Research Process, 4. Research Questions, Aims and Objectives, 5. Reviewing the Literature, 6. Theories, Concepts and Variables, 7. Research Designs and Research Ethics, 8. Collecting Data I: The Questionnaire Survey, 9. Collecting Data II: Interviews, 10. Collecting Data III: Unobtrusive Methods – Observation and Content Analysis, 11. Collecting Data IV: Ethnographic Research in Sport, 12. Online Sport Research, 13. Analysing Data I: Quantitative Data Analysis, 14. Analysing Data II: Qualitative Data Analysis, 15. Writing the Research Report, 16. Practical Issues

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Book SynopsisTable of ContentsIntroduction 1 About This Book 1 Foolish Assumptions 2 Icons Used in This Book 3 Beyond the Book 3 Where to Go from Here 4 Unit 1: Getting Started with Statistics 5 Chapter 1: The Statistics of Everyday Life 7 Statistics and the Media: More Questions than Answers? 8 Probing popcorn problems 8 Venturing into viruses 8 Comprehending crashes 9 Mulling malpractice 9 Belaboring the loss of land 10 Scrutinizing schools 10 Scanning sports 10 Banking on business news 11 Touring the travel news 12 Surveying sexual stats 12 Breaking down weather reports 13 Using Statistics at Work 13 Delivering babies — and information 13 Posing for pictures 14 Poking through pizza data 14 Statistics in the office 14 Chapter 2: Taking Control: So Many Numbers, So Little Time 15 Detecting Errors, Exaggerations, and Just Plain Lies 16 Checking the math 16 Uncovering misleading statistics 17 Looking for lies in all the right places 22 Feeling the Impact of Misleading Statistics 23 Chapter 3: Tools of the Trade 25 Thriving in a Statistical World 25 Statistics: More than Just Numbers 26 Designing Appropriate Studies 28 Surveys (Polls) 28 Experiments 29 Collecting Quality Data 30 Sample, random, or otherwise 30 Bias 32 Grabbing Some Basic Statistical Jargon 33 Data 33 Data set 34 Variable 34 Population 34 Statistic 35 Parameter 35 Mean (Average) 36 Median 36 Standard deviation 36 Percentile 37 Standard score 37 Distribution and normal distribution 38 Central Limit Theorem 38 z-values 39 Margin of error 39 Confidence interval 40 Hypothesis testing 41 p-values 42 Statistical significance 42 Correlation, regression, and two-way tables 43 Drawing Credible Conclusions 44 Reeling in overstated results 44 Questioning claims of cause and effect 44 Becoming a Sleuth, Not a Skeptic 45 Unit 2: Number-Crunching Basics 47 Chapter 4: Crunching Categorical Data 49 Summing Up Data with Descriptive Statistics 49 Crunching Categorical Data: Tables and Percents 50 Counting on the frequency 50 Relating with percentages 52 Two-way tables: Summarizing multiple measures 54 Interpreting counts and percents with caution 55 Practice Questions Answers and Explanations 57 Whaddya Know? Chapter 4 Quiz 60 Answers to Chapter 4 Quiz 62 Chapter 5: Means, Medians, and More 65 Measuring the Center with Mean and Median 65 Averaging out to the mean 66 Splitting your data down the median 68 Comparing means and medians: Histograms 70 Accounting for Variation 74 Reporting the standard deviation 75 Being out of range 78 Examining the Empirical Rule (68-95-99.7) 79 Measuring Relative Standing with Percentiles 83 Calculating percentiles 83 Interpreting percentiles 85 Gathering a five-number summary 88 Exploring interquartile range 89 Practice Questions Answers and Explanations 90 Whaddya Know? Chapter 5 Quiz 97 Answers to Chapter 5 Quiz 98 Chapter 6: Getting the Picture: Graphing Categorical Data 99 Take Another Little Piece of My Pie Chart 100 Tallying personal expenses 100 Bringing in a lotto revenue 101 Ordering takeout 102 Projecting age trends 103 Raising the Bar on Bar Graphs 108 Tracking transportation expenses 108 Making a lotto profit 110 Tipping the scales on a bar graph 110 Pondering pet peeves 111 Practice Questions Answers and Explanations 117 Whaddya Know? Chapter 6 Quiz 123 Answers to Chapter 6 Quiz 124 Chapter 7: Going by the Numbers: Graphing Numerical Data 125 Handling Histograms 126 Making a histogram 126 Interpreting a histogram 130 Putting numbers with pictures 137 Detecting misleading histograms 139 Examining Boxplots 143 Making a boxplot 143 Interpreting a boxplot 146 Tackling Time Charts 152 Interpreting time charts 152 Understanding variability: Time charts versus histograms 153 Spotting misleading time charts 153 Practice Questions Answers and Explanations 159 Whaddya Know? Chapter 7 Quiz 165 Answers to Chapter 7 Quiz 166 Unit 3: Distributions and the Central Limit Theorem 167 Chapter 8: Coming to Terms with Probability 169 A Set Notation Overview 169 Noting outcomes: Sample spaces 170 Noting subsets of sample spaces: Events 171 Noting a void in the set: Empty sets 172 Putting sets together: Unions, intersections, and complements 172 Probabilities of Events Involving A and/or B 173 Probability notation 174 Marginal probabilities 175 Union probabilities 175 Intersection ( joint) probabilities 175 Complement probabilities 176 Conditional probabilities 176 Understanding and Applying the Rules of Probability 178 The complement rule (for opposites, not for flattering a date) 178 The multiplication rule (for intersections, not for rabbits) 179 The addition rule (for unions of the nonmarital nature) 180 Recognizing Independence in Multiple Events 182 Checking independence for two events with the definition 182 Using the multiplication rule for independent events 183 Including Mutually Exclusive Events 184 Recognizing mutually exclusive events 184 Simplifying the addition rule with mutually exclusive events 185 Distinguishing Independent from Mutually Exclusive Events 186 Comparing and contrasting independence and exclusivity 186 Checking for independence or exclusivity in a 52-card deck 187 Avoiding Probability Misconceptions 189 Predictions Using Probability 190 Practice Questions Answers and Explanations 192 Whaddya Know? Chapter 8 Quiz 196 Answers to Chapter 8 Quiz 197 Chapter 9: Random Variables and the Binomial Distribution 199 Defining a Random Variable 200 Discrete versus continuous 200 Probability distributions 202 The mean and variance of a discrete random variable 202 Identifying a Binomial 203 Checking binomial conditions step by step 204 No fixed number of trials 204 More than success or failure 205 Trials are not independent 205 Probability of success (p) changes 205 Finding Binomial Probabilities Using a Formula 207 Finding Probabilities Using the Binomial Table 210 Finding probabilities for specific values of X 210 Finding probabilities for X greater-than, less-than, or between two values 211 Checking Out the Mean and Standard Deviation of the Binomial 212 Practice Questions Answers and Explanations 214 Whaddya Know? Chapter 9 Quiz 216 Answers to Chapter 9 Quiz 217 Chapter 10: The Normal Distribution 219 Exploring the Basics of the Normal Distribution 219 Meeting the Standard Normal (Z-) Distribution 223 Checking out Z 223 Standardizing from X to Z 223 Finding probabilities for Z with the Z-table 225 Finding Probabilities for a Normal Distribution 227 Knowing Where You Stand with Percentiles 230 Finding X When You Know the Percent 232 Figuring out a percentile for a normal distribution 232 Translating tricky wording in percentile problems 234 Normal Approximation to the Binomial 236 Practice Questions Answers and Explanations 239 Whaddya Know? Chapter 10 Quiz 248 Answers to Chapter 10 Quiz 249 Chapter 11: The t-Distribution 251 Basics of the t-Distribution 251 Comparing the t- and Z-distributions 251 Discovering the effect of variability on t-distributions 252 Using the t-Table 253 Finding probabilities with the t-table 253 Figuring percentiles for the t-distribution 256 Picking out t*-values for confidence intervals 257 Studying Behavior Using the t-Table 258 Practice Questions Answers and Explanations 259 Whaddya Know? Chapter 11 Quiz 260 Answers to Chapter 11 Quiz 261 Chapter 12: Sampling Distributions and the Central Limit Theorem 263 Defining a Sampling Distribution 264 The Mean of a Sampling Distribution 265 Measuring Standard Error 266 Sample size and standard error 266 Population standard deviation and standard error 267 Looking at the Shape of a Sampling Distribution 269 Case 1: The distribution of X is normal 269 Case 2: The distribution of X is not normal — Enter the Central Limit Theorem 269 Finding Probabilities for the Sample Mean 273 The Sampling Distribution of the Sample Proportion 275 Finding Probabilities for the Sample Proportion 278 Practice Questions Answers and Explanations 280 Whaddya Know? Chapter 12 Quiz 283 Answers to Chapter 12 Quiz 284 Unit 4: Guesstimating and Hypothesizing with Confidence 285 Chapter 13: Leaving Room for a Margin of Error 287 Seeing the Importance of that Plus or Minus 287 Finding the Margin of Error: A General Formula 289 Measuring sample variability 289 Calculating margin of error for a sample proportion 291 Reporting results 293 Calculating margin of error for a sample mean 293 Being confident you’re right 294 Determining the Impact of Sample Size 296 Sample size and margin of error 296 Bigger isn’t always (that much) better! 297 Keeping margin of error in perspective 297 Practice Questions Answers and Explanations 300 Whaddya Know? Chapter 13 Quiz 303 Answers to Chapter 13 Quiz 304 Chapter 14: Confidence Intervals: Making Your Best Guesstimate 305 Not All Estimates Are Created Equal 306 Linking a Statistic to a Parameter 306 Getting with the Jargon 307 Interpreting Results with Confidence 308 Zooming In on Width 310 Choosing a Confidence Level 310 Factoring In the Sample Size 312 Counting On Population Variability 313 Calculating a Confidence Interval for a Population Mean 315 Case 1: Population standard deviation is known 315 Case 2: Population standard deviation is unknown and/or n is small 316 Figuring Out What Sample Size You Need 318 Determining the Confidence Interval for One Population Proportion 319 Creating a Confidence Interval for the Difference of Two Means 322 Case 1: Population standard deviations are known 322 Case 2: Population standard deviations are unknown and/or sample sizes are small 323 Estimating the Difference of Two Proportions 326 Spotting Misleading Confidence Intervals 329 Practice Questions Answers and Explanations 330 Whaddya Know? Chapter 14 Quiz 337 Answers to Chapter 14 Quiz 339 Chapter 15: Claims, Tests, and Conclusions 341 Setting Up the Hypotheses 342 Defining the null 342 What’s the alternative? 343 Gathering Good Evidence (Data) 343 Compiling the Evidence: The Test Statistic 344 Gathering sample statistics 344 Measuring variability using standard errors 344 Understanding standard scores 345 Calculating and interpreting the test statistic 345 Weighing the Evidence and Making Decisions: p-Values 346 Connecting test statistics and p-values 346 Defining a p-value 347 Calculating a p-value 347 Making Conclusions 349 Setting boundaries for rejecting H0 350 Testing varicose veins 350 Assessing the Chance of a Wrong Decision 352 Making a false alarm: Type I errors 353 Missing out on a detection: Type II errors 353 Practice Questions Answers and Explanations 356 Whaddya Know? Chapter 15 Quiz 359 Answers to Chapter 15 Quiz 360 Chapter 16: Commonly Used Hypothesis Tests: Formulas and Examples 361 Testing One Population Mean 362 Handling Small Samples and Unknown Standard Deviations: The t-Test 363 Putting the t-test to work 364 Relating t to Z 365 Handling negative t-values 365 Examining the not-equal-to alternative 365 Drawing conclusions using the critical value 366 Testing One Population Proportion 368 Comparing Two (Independent) Population Averages 371 Case 1: Difference of two population means when population standard deviations are known 371 Case 2: Difference of two population means when population standard deviations are unknown 374 Testing for an Average Difference (The Paired t-Test) 375 Comparing Two Population Proportions 378 Practice Questions Answers and Explanations 382 Whaddya Know? Chapter 16 Quiz 387 Answers to Chapter 16 Quiz 388 Unit 5: Statistical Studies and the Hunt for a Meaningful Relationship 389 Chapter 17: Polls, Polls, and More Polls 391 Recognizing the Impact of Polls 392 Getting to the source 392 Surveying what’s hot 393 Impacting lives 394 Behind the Scenes: The Ins and Outs of Surveys 395 Planning and designing a survey 396 Selecting the sample 399 Carrying out a survey 402 Interpreting results and finding problems 405 Practice Questions Answers and Explanations 408 Whaddya Know? Chapter 17 Quiz 411 Answers to Chapter 17 Quiz 412 Chapter 18: Experiments and Observational Studies: Medical Breakthroughs or Misleading Results? 413 Boiling Down the Basics of Studies 414 Looking at the lingo of studies 414 Observing observational studies 415 Examining experiments 415 Designing a Good Experiment 417 Designing the experiment to make comparisons 417 Selecting the sample size 419 Choosing the subjects 421 Making random assignments 421 Controlling for confounding variables 422 Respecting ethical issues 423 Collecting good data 424 Analyzing the data properly 425 Interpreting Experiment Results 428 Making appropriate conclusions 428 Making informed decisions 429 Practice Questions Answers and Explanations 431 Whaddya Know? Chapter 18 Quiz 433 Answers to Chapter 18 Quiz 434 Chapter 19: Looking for Links: Correlation and Regression 435 Picturing a Relationship with a Scatterplot 436 Making a scatterplot 436 Interpreting a scatterplot 437 Quantifying Linear Relationships Using the Correlation 440 Calculating the correlation 440 Interpreting the correlation 441 Examining properties of the correlation 443 Working with Linear Regression 445 Figuring out which variable is X and which is Y 445 Checking the conditions 446 Calculating the regression line 446 Interpreting the regression line 449 Putting it all together: The regression line for the crickets 451 Making Proper Predictions 453 Checking the conditions 453 Staying in-bounds 454 Regression Analysis: Understanding the Output 456 Residing with Residuals 457 Explaining the Relationship: Correlation versus Cause and Effect 458 Practice Questions Answers and Explanations 460 Whaddya Know? Chapter 19 Quiz 465 Answers to Chapter 19 Quiz 466 Chapter 20: Two-Way Tables and Independence 467 Organizing a Two-Way Table 468 Setting up the cells 469 Figuring the totals 469 Interpreting Two-Way Tables 472 Singling out variables with marginal distributions 472 Examining all groups — a joint distribution 476 Comparing groups with conditional distributions 478 Checking Independence and Describing Dependence 483 Checking for independence 484 Describing a dependent relationship 486 Cautiously Interpreting Results 489 Checking for legitimate cause and effect 489 Projecting from sample to population 490 Making prudent predictions 491 Resisting the urge to jump to conclusions 491 Practice Questions Answers and Explanations 492 Whaddya Know? Chapter 20 Quiz 498 Answers to Chapter 20 Quiz 500 Appendix: Tables for Reference 503 The Z-Table 503 The t-Table 506 The Binomial Table 508 Index 513

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a huge range and FREE tracked UK delivery on ALL orders.

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Book SynopsisAn up-to-date, clearly written, user-friendly guide that students and experienced scholars alike will find invaluable as they plan, implement, and write up qualitative research projects.Doing Qualitative Research in Education Settings, Second Edition is a methods book that speaks directly to qualitative researchers in the field of education, providing a step-by-step guide to the development of a research project. Written in accessible language, the book emphasizes learning how to do qualitative work. Specific examples from real studies, using real data and demonstrating real analyses, are provided throughout. The book is designed to guide doctoral candidates through the dissertation process, from unpacking assumptions and identifying research questions, through project design, data collection and analysis, to writing the final draft. Recommendations for publishing qualitative work are included.New to the second edition are a comprehensive updating of citations and references, new sections addressing the impact of computer-mediated communication (especially as related to data collection and analysis), an overview of the recent history of qualitative research, and an overall refresh that acknowledges the many changes that have occurred in society and academe since the original publication.

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Book Synopsis'From finding a research topic through to the final write up, this clear guide takes the mystery out of graduate-level research. This book will help your project succeed' - James V. Spickard, Professor of Sociology, University of Redlands, US Just starting your Master's? Worried about your dissertation? This book is an indispensible guide to writing a successful Master's dissertation. The book begins by addressing issues you'll face in the early stages of writing a dissertation, such as deciding on what to research, planning your project and searching for literature online. It then guides you through different aspects of carrying out your research and writing up, helping you to: Write a research proposal Choose one or more methods Write the introduction and conclusion Discuss the literature Analyse your findings Edit and reference Formulate research Trade Review′From finding a research topic through the final write up, this clear guide takes the mystery out of graduate-level research. This book will help your project succeed′-James V. Spickard, Professor of Sociology, University of Redlands, USTable of ContentsHelp! How Do I Find a Research Topic? Overcoming Barriers and Getting Started Basic Rules of Writing Who Can Help You? Establishing Support Networks A Guide for Searching the Literature Reviewing Research Literature How Do I Formulate Research Questions? Easier Said Than Done - Choosing a Suitable Research Design and Method The Art of Keeping a Steady Course - Structuring the Analysis Beginning and End - Introduction and Conclusion Chaos and Order - Editing and Referencing When Is It Finished? Checklist Summary

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Book SynopsisThis pragmatic, applied textbook showcases the potential and impact of qualitative research in business and management. Using case studies and a global approach it provides you with an overview of the philosophies, methodologies and methods you will need to research in this field. Demystifying the whole process, it walks you through every aspect of conducting and using research in business, including generating questions, collecting useful data, evaluating the research and disseminating your findings. It also: Explores the challenges of working with qualitative data Introduces qualitative methods including interviews, focus groups & ethnography New to the 2nd edition: The role of digital tools and social media, and how you can use them for data collection 3 new chapters on qualitative content analysis, visual research and publishing research. Trade ReviewEriksson and Kovalainen have improved on what was already a very useful and usable guide to the theory and application of a range of qualitative methods. All the five new chapters add considerably to the book, but the chapters on content analysis and breaking field boundaries are particularly enlightening. This will be my go to book for research and teaching. -- Albert MillsComprehensive, current and compelling, a winning combination for any research student or practitioner interested in increasing his/her knowledge about qualitative methods as they apply to business research -- The Qualitative ReportTable of ContentsPART 1: THE BUSINESS OF QUALITATIVE RESEARCH Chapter 1: Introduction Chapter 2: Research Philosophy Chapter 3: Research Design and Process Chapter 4: Research Questions and Literature Review Chapter 5: Access and Relationships Chapter 6: Ethics in Research PART 2: WORKING WITH QUALITATIVE DATA Chapter 7: Introduction to Qualitative Data Chapter 8: Interviews and Observations Chapter 9: Digital Data Chapter 10: Qualitative Content Analysis PART 3: QUALITATIVE RESEARCH APPROACHES Chapter 11: Case Study Research Chapter 12: Ethnographic Research Chapter 13: Action Research Chapter 14: Focus Group Research Chapter 15: Grounded Theory Research Chapter 16: Narrative Research Chapter 17: Discourse Theoretical Research Chapter 18: Critical Research Chapter 19: Feminist Research Chapter 20: Visual Research PART 4: WRITING, EVALUATING AND PUBLISHING Chapter 21: Writing Process Chapter 22: Evaluation Chapter 23: Publishing Chapter 24: Breaking the Boundaries

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Book SynopsisCovering the general process of data analysis to finding, collecting, organizing, and presenting data, this book offers a completeintroduction to the fundamentals of data analysis. Using real-world case studies as illustrations, it helps readers understand theories behind and develop techniques for conducting quantitative, qualitative, and mixed methods data analysis. With an easy-to-follow organization and clear, jargon-free language, it helps readers not only become proficient dataanalysts,but also develop the critical thinking skills necessary to assess analyses presented by others in both academic research and the popular media. It includes advice on: - Data analysis frameworks - Validity and credibility of data - Sampling techniques - Data management - The big data phenomenon - Datavisualisation - Effective data communication Whether you are new to data analysis or looking for a quick-refTrade ReviewBergin’s book has a clear and straight-forward structure covering the key points and issues required to engage in qualitative, quantitative or mixed methods research. This is an accessible introduction for undergraduates encountering research methods for the first time. -- Anna RobbTiffany Bergin is clearly an experienced and effective teacher, reminiscent of the late Cathie Marsh (both authors taught research methods at Cambridge). This book is informed by professional experience outside academia and is recommended as required reading in research methods (quantitative, qualitative, and mixed) for courses in sociology, social policy and related areas. It can serve either as a course text or as a self-teaching aid. Well organised and easy to use, written in a no-nonsense style, addressing the reader throughout as "you" with emphasis on learning by doing hands-on with real data, it is full of sound practical advice and stresses the importance of organising your work and especially on communicating your findings. -- John F HallTable of ContentsChapter 1: Introducing Data Chapter 2: Thinking like a Data Analyst Chapter 3: Finding, Collecting, and Organizing Data Chapter 4: Introducing Quantitative Data Analysis Chapter 5: Applying Quantitative Data Analysis: Correlations, T-Tests, and Chi-Square Tests Chapter 6: Introducing Qualitative Data Analysis Chapter 7: Applying Qualitative Data Analysis Chapter 8: Introducing Mixed Methods: How to Synthesize Quantitative and Qualitative Data Analysis Techniques Chapter 9: Communicating Findings and Visualizing Data Chapter 10: Conclusion: Becoming a Data Analyst

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Book SynopsisIn Template Analysis, Nigel King and Joanna Brookes guide you through the origins of template analysis and its place in qualitative research, its basic components, and the main strengths and limitations of this method. Practical case studies and examples from published research then guide you through how to use it in your own research project. Ideal for Business and Management students reading for a Master's degree, each book in the series may also serve as a reference book for doctoral students and faculty members interested in the method. Part of SAGE's Mastering Business Research Methods, conceived and edited by Bill Lee, Mark N. K. Saunders and Vadake K. Narayanan and designed to supportresearchers by providing in-depth and practical guidance on using a chosen method of data collection or analysis. Table of ContentsChapter 1: Introduction Chapter 2: Philosophical Issues When Using Template Analysis Chapter 3: Doing Template Analysis: A Guide to the Main Components and Procedures Chapter 4: Case Examples of the Use of Template Analysis Chapter 5: The Use of Template Analysis in Published Research: The Careers Literature as an Exemplar Chapter 6: Strengths and Limitations of Template Analysis

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Book SynopsisAn invaluable, step-by-step guide to data management in R for social science researchers. This book will show you how to recode data, combine data from different sources, document data, and import data from statistical packages other than R. It explores both qualitative and quantitative data and is packed with a range of supportive learning features such as code examples, overview boxes, images, tables, and diagrams.Table of Contents1. Introduction 2. Building Blocks of Data 3. Data Frames 4. Data Tables and Tidyverse 5. Handling Data from Social Science Surveys 6. Managing Data from Complex Samples 7. Dates, Times, and Time Series 8. Spatial/Geographical data 9. Text as Data

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Book SynopsisWritten by experts at the UK Data Archive, with over thirty years of experience in working with and teaching people to work with data, this book is the globally-reaching guide for any postgraduate student or researcher looking to build their data management skills. Focused on both primary and secondary data and packed with checklists and templates, it contains everything readers need to know for managing all types data before, during, and after the research process. Building on foundational data management techniques, it offers practical advice and insight into the unique skills needed to work with newer forms of data, like social media and big data. It also demonstrates how to: - Identify quality data that is credible, ethically-sound, and available for use - Choose and collect data suitable for particular research questions and project scopes - Work with personal, communal, administrative, and other sensitive and public data - Make the most of metadata - Visualise and share data using innovative platforms like blogs, infographics, and podcasts. Trade ReviewThis book is a ‘must have’ for anyone teaching or learning about this topic. The reader is taken on a journey of discovery and at the end will be well equipped to manage and share research data in all aspects. -- Jane FryThis book remains an essential guide for researchers and data professionals concerned with best practice data management. Accessible. Practical. Comprehensive. This edition has been revised and updated to address legal changes as well as challenges posed by new forms of data. This is a trusty companion for novices and experts alike. Highly recommended. -- Chris GibsonWritten by experts in the field, this book offers a comprehensive introduction to key topics in research data management across the whole research lifecycle. Already established as an indispensable handbook, this new edition provides up to date case studies, practical guidance and extensive references. Highly recommended. -- Wayne PetersData are a major asset of economic and social research, and the quality and provenance of research datasets fundamentally underpins the extent to which they can subsequently be shared and reused. The ESRC is the UK′s largest funder of research on social and economic issues and has long been at the forefront of promoting the importance of data sharing. As the volume and complexity of datasets available to researchers continues to increase, the importance of data management in the advancement of economic and social science research becomes ever more apparent. This book approaches these topics accessibly and will offer insights to a wide audience, from those at starting to think about data management to those seeking to refresh their skills. -- Alison ParkFor CESSDA, as consortium of trusted repositories that offers a research infrastructure with tools and services for data producers and data re-users, good data practices throughout the data lifecycle are deemed essential to facilitate high-quality research that benefits society. This book - full of practical guidance and tips, case studies and examples, and written by longstanding and experienced CESSDA members - helps to develop the skills of researchers and data professionals to produce high quality data that are well described, curated, re-usable and as openly accessible as possible. By describing the sometimes complex facets of data management in an easy and clear way, especially with regards the ethical and legal aspects of sharing and reusing social science data, this book helps to set researchers on a path to more open science. -- Ron DekkerTable of ContentsChapter 1: The importance of managing and sharing research data Chapter 2: The research data life-cycle Chapter 3: Research data management planning Chapter 4: Documenting and providing context for data Chapter 5: Formatting, organizing and transforming data Chapter 6: Storing and moving data Chapter 7: Legal and ethical issues in sharing data Chapter 8: Disclosure review and anonymization Chapter 9: Rights relating to research data Chapter 10: Making use of existing research data: opportunities and limitations Chapter 11: Publishing, promoting and citing data Chapter 12: Working with big and novel data

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Book SynopsisEPDF and EPUB available Open Access under CC-BY-NC-ND licence. Examining countries where religious pluralism is in decline, including Iraq, India, Pakistan and Nigeria, this book brings together reflections, knowledge and learning about the daily experiences of religiously marginalized groups, generated using participatory research methods. It also showcases the participatory methodologies implemented by its international team of contributors and highlights the importance of using non-extractive methods for engaging with participants. Including a careful consideration of the ethics and limitations of participatory research with marginalized groups, the book reflects on the implications for people’s agency when research creates space for them to reflect on their realities in a group setting and uses methods which put their own experience and analysis at the centre of the process.Table of Contents1. Religious Inequalities: The Blind Spot in Participatory Methodologies and Understandings of Freedom of Religion or Belief ~ Jo Howard and Mariz Tadros Part 1: India 2. Participatory Methods and the Freedom of Religion or Belief ~ Rebecca Shah and Timothy Shah 3. The Personal, the Relational and the Community: Researching With Dalit Christian Women in India During COVID-19 ~ Rebecca Shah With Lata John 4. Faith and Researcher Positionality: Researching With Dalit Muslim Women in India During COVID-19 ~ Rebecca Shah With Laila Khan Part 2: Nigeria 5. Using Participatory Methodologies in the Context of Fragility ~ Plangsat Bitrus Dayil 6. Applying Participatory Methodologies in Understanding the Impact of the COVID-19 Epidemic on Religious Communities in Nigeria ~ Henry Gyang Mang 7. Working With Survivors of Trauma: Using Participatory Ranking To Explore the Experiences of Izala Women in Northern Nigeria ~ Fatima Suleiman Part 3: Iraq 8. Facilitating Peer Research for Freedom of Religion or Belief in Iraq ~ Sofya Shahab 9. Participatory Learning and Action (PLA) and Reflective Practices: Training Teachers To Become Effective Promoters of Freedom of Religion or Belief Principles in Education ~ Yusra Mahdi 10. Embracing Emotion and Building Confidence: Using Participatory Methods With Yazidi Women in Iraq ~ Zeri Khairi Gadi Part 4: Pakistan 11. Lessons Learned Using Participatory Methodologies in Exploring Intersectional Marginalization of Religious and Sectarian Minorities in Pakistan ~ Asad Shoaib and Jaffer Abbas Mirza 12. Using Participatory Research Methodology to Understand Daily Experiences of Religiously Marginalized Communities: A Case Study of Christians in Joseph Colony (Lahore) and Rimsha Colony (Islamabad) and Shi’as in Balti Basti (Karachi) ~ Maryam Kanwer and Jaffer Abbas Mirza 13. Using Participatory Methods With Ahmadis in Exile ~ M.K. 14. Addressing the Intersection of Religious and Other Inequalities Through Participatory Methodologies ~ Mariz Tadros and Jo Howard

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Book SynopsisWe live in an increasingly digitised society. In an age of digital identities, rapid developments in Artificial Intelligence and ever more sophisticated software available, our methods for researching digital media must be flexible and adaptable. This book will help you to understand why researchers in this field choose and use particular research methods, equipping you to put these methods into practice across the whole range of undergraduate media courses. This book shows you how research methods can help us to make sense of the myriad of information we encounter online every day, from Tiktok influencers to viral Twitter posts. Complete with case studies in each chapter, the book covers both well-established methods, such as network analysis, and cutting-edge ones, such as interface analysis. It provides a crucial foundation for research in digital media, demonstrating the scope and potential of these tools. The book adopts an easy-to-navigate structure, taking you through specific methods in a systematic way. It shows you examples of classic uses of each method, and directs you towards further resources after each chapter.Table of ContentsResearching Digital Media and Society Mixing Methods The Research Process Digital Research Ethics Digital Ethnography Qualitative Text Analysis Computational Text Analysis Social Network Analysis Visual Analysis Platform Analysis

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Book SynopsisAre you working with qualitative data but unsure how to approach your analysis? This hands-on guide to qualitative content analysis from two internationally renowned experts provides you with a clear strategy for analysing your data, whether you are working with social media content, field notes, images, narratives or focus group data. Using qualitative interviews as an example, the book provides a clear structure for approaching your analysis that can be adapted for your research project. Explaining how qualitative content analysis differs from quantitative methods, the book provides you with: •a solid understanding of the principles behind QCA •a step-by-step guide to three types of QCA •guidance on how you can use software to enhance your analysis.Trade ReviewThe authors’ experience as teachers and practitioners of qualitative analysis methods shines throughout this clearly written, well-structured, and stimulating text. Written guidance, supported by an abundance of illustrative examples, provides a thorough foundation that supports strategies for systematically categorising and analysing qualitative data that build from simple description to complex typology development. -- Pat BazeleyUdo Kuckartz and Stefan Rädiker, have authored an easy-to-understand text addressing qualitative research content analysis. This text has caused me to rethink qualitative data analysis and apply a category system to my own procedures. I applaud their logical approach, their detailed use of references, and their insight brought to qualitative research. This book will be seen for many years as a leading worldwide text on qualitative data analysis. -- John W. CreswellThis book does a fantastic job of discussing the historical and theoretical foundations of QCA together with practical considerations for its use. The inclusion of real-world examples, advice for using qualitative data analysis software, and creative visual displays makes this revision a great resource for researchers analyzing qualitative data within qualitative and mixed methods approaches. -- Vicki Plano ClarkTable of ContentsConceptual foundations of Qualitative Content Analysis (QCA) About categories Developing categories Three types of qualitative content analysis Structuring qualitative content analysis Evaluative qualitative content analysis Type-building qualitative content analysis Using software Quality standards, research report, and documentation

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Book SynopsisFraming research as the process of asking and answering questions, this book demonstrates how to identify good research questions and how to structure and explore them successfully. Whether you are just beginning your research journey or are a seasoned traveller, it helps you: • Decide what you want to achieve with your research • Know what options you have to explore your goals • Navigate the nuances of different research approaches • Understand the decisions of other researchers • Choose what path best suits your project. Through real-life examples demonstrating different types of research, the book introduces qualitative, quantitative, and mixed methods approaches so you can compare different methods at every stage of the research process, from initial idea and design to data collection and analysis. This new edition includes new chapters on collecting and analysing mixed methods data, and additional content on qualitative data analysis. New examples reflect the cultural and global diversity of social research, and extra visual aids and summaries support understanding of key research concepts and stages. The book is accompanied by an online teaching guide, including videos, additional case studies, annotated articles, and critical thinking exercises.Trade Review"This is a must-have. Sigmund Grønmo′s book provides a comprehensive and accessible introduction to contemporary social research approaches, designs and methods. This second edition includes timely and valuable new materials; particularly those on comparisons and combinations when collecting and analysing data. Like the first edition, this one will go straight to my reference bookshelf ... and onto all my major course reading lists." -- Conor Galvin"Research methods manuals are often too technical and devoid of any real-life examples. This book however provides a rather apt account of society and contextualises the use of research methods in a rather effective manner. " -- Olga VerveriStudying children and youth has never been more important than today and Sigmund Gronmos′ Social Research Methods (2nd edition) is the text I use to introduce my students on the chronological and methodological hows and whys of doing research. Not only are ethical considerations included, but also Gronmos has two engaging and well-written chapters on asking and answering questions in new areas of child research as well tips for teaching my students how to present research once their assignments are completed. Social Research Methods lays the foundation for my students to continue working on their research topics in fourth-year independent and post-graduate studies. -- Christine LeiThis second edition remains an important resource for students. Everything is covered! From asking the right questions to learning about using digital tools or developing different ways of writing and presenting research. Extra resources in each chapter, including contemporary case studies, will equip students with everything they need to know about doing social research. -- Ruth McAreaveyTable of ContentsPart I Researching Society Chapter 1 How and why we study society Chapter 2 Methods and methodologies in social science Chapter 3 The ethics and politics of research Part II Designing Social Research Chapter 4 Creating research questions Chapter 5 Doing a literature review Chapter 6 Choosing a research design Chapter 7 Finding sources and data Chapter 8 Sampling Part III Data Collection and Data Quality Chapter 9 Ethnography and participant observation Chapter 10 Structured observation Chapter 11 Unstructured interviews and focus groups Chapter 12 Questionnaires and surveys Chapter 13 Documentary sources and qualitative content analysis Chapter 14 Quantitative content analysis Chapter 15 Collecting qualitative and quantitative data: Comparisons and combinations Chapter 16 Data quality, reliability and validity Part IV Data Analysis Chapter 17 Qualitative data analysis: Coding, categorization and concept development Chapter 18 Qualitative data analysis: Typologies, hypotheses and holistic understanding Chapter 19 Quantitative data analysis: Indexes and distributions Chapter 20 Quantitative data analysis: Relationships between variables Chapter 21 Generalizing empirical findings Chapter 22 Analyzing qualitative and quantitative data: Comparisons and combinations Part V Asking and Answering Questions in Social Science Chapter 23 Description, explanation and understanding Chapter 24 Time, space and level Chapter 25 Relations, networks and structures Chapter 26 Big data and computational social science Part VI Writing and Presenting Research Chapter 27 Working with data visualization Chapter 28 Writing about research

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Book SynopsisIn eight clear-cut steps, this book provides a systematic introduction to qualitative content analysis and how you can use it in each stage of your research project, no matter the type or amount of data. Developed by a leading expert in the field and based on years of teaching experience, this book offers an essential framework for interpreting qualitative data for any social sciences student or researcher. To support you in choosing the best approach for your research, this book includes: · Examples of how QCA can be applied to various research processes · An introduction to text analysis and its different approaches · Discussions of how to use QCA software to benefit your research · An online how-to manual to help you get the most out of QCAmap software. It also introduces the process of scientific research, and integrates qualitative and quantitative analysis into the step-by-step approach. Trade ReviewPhilip Mayring offers a clear, systematic, step-by-step formula for both undergraduate and postgraduate students and novice researchers interested in using qualitative content analysis. The book offers significant context, elaborate detail, and supplements this with clear examples of research in the everyday practice. -- Naomi OostermanThis book promises to be a well signposted and accessibly written ‘compelling read’ for novices and those new to Qualitative Content Analysis. It is also a `must’ for established researchers wishing to engage with the challenge of a new perspective on QCA. The text invites the reader to consider Content Analysis and appreciate the research journey using a novel and innovative approach. It offers ideas and suggestion, weaving together divergent principles, as well as proposing new tools and models, as means by which the intricacies and challenges littering Content Analysis might be navigated. -- Debbie ReedTable of ContentsIntroduction: Why Should we be Concerned With Qualitative Content Analysis? Part I: Foundations of Text Analysis Chapter 1: The Methodological Debate of Qualitative vs. Quantitative Research Historical Background Theory of Science Background of the Controversy Is Mixed Methods a Solution? Common Research Criteria for Qualitative and Quantitative Approaches Chapter 2: Importance of Text Analysis in Social Sciences Texts and Numerical Data as Material in Social Sciences Methods of Collecting Textual Material in Social Sciences Projects Chapter 3: Different Approaches of Text Analysis A comparison of Five Qualitative Text Analysis Approaches Social-Hermeneutic Paraphrase Psychoanalytic Text Interpretation Objective Hermeneutics Grounded Theory Coding Qualitative Content Analysis Comparison of the Approaches and Quality Criteria Chapter 4: A Short History of Content Analysis Preliminary Phase Consolidation Phase Fine Developments and Interdisciplinary Expansion Stagnation and “Discontent” with Content Analysis New quantitative approaches in computational linguistics, complex algorithms and text mining Approaches to Qualitative Content Analysis Chapter 5: Basic Principles of Qualitative Content Analysis Embedding the Material within its Communication Context Categories in the Focus of Analysis Defining content analytical units Systematic, Rule-bound Procedure Object Reference in Place of Formal Techniques Theory-guided Character of the Analysis Testing Specific Instruments via Pilot Studies Integrating Quantitative Steps of Analysis Quality Criteria Chapter 6: Procedures of Qualitative Content Analysis Summarizing Qualitative Content Analysis Inductive Category Formation Explication: Narrow and Broad Context Analysis Structuring: Deductive Category Assignment Mixed Procedures Chapter 7: Computer Programs for Supporting Qualitative Content Analysis The Merits of Computer Assistance in Text Analysis QCAmap Software for Qualitative Content Analysis Part II: The 8 Step Qualitative Content Analysis Research Process Chapter 8 Step 1: Forming the Research Question From Themes to Questions How to Formulate a Research Question Example for Step 1: Forming the Research Question Chapter 9 Step 2: Establishing the Theoretical Background of the Study Different Levels of Theory Background Example for Step 2: Establishing the Theoretical Background of the Study Chapter 10 Step 3: Designing the Study Basic Designs for Qualitative (and Quantitative) Research Example for Step 3: Designing the Study Ethical Aspects of a Qualitative Content Analysis Study Chapter 11 Step 4: Gathering Textual Material, Sampling The Quality of the Sample: Establishing a Sampling Strategy Recommendations for Sample Size Describing the Text Corpus for Qualitative Content Analysis Transcription Rules Example for Step 4 (Textual Material) Chapter 12 Step 5: Choosing and Constructing Adequate Methods Summarizing: Procedure and Example Inductive Category Formation: Procedure and Example Explicating (Context Analysis): Procedure and Example Structuring (Deductive Category Assignment): Procedure and Example Mixed Procedures: Theme Analysis, Type Analysis, Parallel Procedures Chapter 13 Step 6: Conducting the Study and Presenting the Results Description of Results Presenting Studies with Summarizing Content Analysis Presenting Inductive Category Formation Presenting Deductive Category Assignment Answering the Research Question Chapter 14 Step 7: Discussing Quality Criteria Classical Quality Criteria Specific Content-analytical Quality Criteria Software Example: Three Levels of Intercoder Agreement Chapter 15 Step 8: Reflecting on Research Implications Theoretical Implications Practical Implications Part III: Indications and Limitations of Qualitative Content Analysis Similar Conceptions of a Qualitative Content Analysis Criticism and Misunderstandings Strengths and Weaknesses of Qualitative Content Analysis Further Developments

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Book SynopsisData and Society: A Critical Introduction investigates the growing importance of data as a technological, social, economic and scientific resource. It explains how data practices have come to underpin all aspects of human life and explores what this means for those directly involved in handling data. The book fosters informed debate over the role of data in contemporary society explains the significance of data as evidence beyond the "Big Data" hype spans the technical, sociological, philosophical and ethical dimensions of data provides guidance on how to use data responsibly includes data stories that provide concrete cases and discussion questions. Grounded in examples spanning genetics, sport and digital innovation, this book fosters insight into the deep interrelations between technical, social and ethical aspects of data work.Trade ReviewAs the Founding Editor-in-chief of Harvard Data Science Review, I have studied thousands of pages of data science, with or without Greek letters. But nothing has had a higher density of inspirations per page than Beaulieu and Leonelli’s book. Without going beyond page 5, I already started to think about data singularly and plurally. -- Professor Xiao-Li MengTable of ContentsSection 1: Data in Society Chapter 1: Data in Society Section 2: Data Creation Chapter 2: Big Data in Context Chapter 3: Characteristics of Data Chapter 4: Data, Evidence and Knowledge Section 3: Data Circulation Chapter 5: Putting Data to Work Chapter 6: New Data Skills Chapter 7: Governance of Data Journeys Section 4: Data Value, Innovation and Responsibility Chapter 8: Data as a Source of Value Chapter 9: Data Justice and Ethics Chapter 10: Responsible Use of Data as Evidence Section 5: Conclusion: Data and the Knowledge We Need Chapter 11: Towards Good Data Science

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Book SynopsisEmbarking on your own psychology research? This book equips you with the skills you need to complete a qualitative project confidently. The book takes you through the process of doing your project, showing how to plan and execute each stage. It helps you make good decisions about key steps such as choosing a research topic, designing your project, doing ethical research and writing up. This second edition: Offers a host of learning features including ‘in a nutshell’ summaries, further reading, activities and top tips to help you develop your understanding and skills. Devotes more space to the important topics of project planning and doing ethical research with a new chapter on each. Enables you to critically evaluate your work, helping you conduct high-quality research. Discusses student success stories and cautionary tales illustrating, from start to finish, how qualitative projects are done in the real world. This is the perfect guide for undergraduates doing a final project or dissertation, and postgraduates who are relatively new to qualitative research.Table of ContentsChapter 1: Getting started - Cath Sullivan, Stephen Gibson and Sarah Riley Chapter 2: Coming up with a research question - Sarah Riley and Kathy Kinmond Chapter 3: Planning your project - Cath Sullivan and Sarah Riley Chapter 4: Doing ethical research - Cath Sullivan and Sarah Riley Chapter 5: Managing your project - Sarah Riley and Nigel King Chapter 6: Doing a literature review - Jo Bryce and Michael Forrester Chapter 7: Collecting your data - Stephen Gibson and Siobhan Hugh-Jones Chapter 8: Analysing your data - Stephen Gibson and Siobhan Hugh-Jones Chapter 9: Achieving quality in your project - Cath Sullivan, Nollaig Frost and Kathryn Kinmond Chapter 10: Writing up a qualitative project - Sarah Riley Chapter 11: Conclusion - Cath Sullivan, Stephen Gibson and Sarah Riley

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Book SynopsisContinuing to be THE guide to the whole qualitative research process for students, this book looks at both the theory behind qualitative research and how to put it into practice in your own work. For students across a range of social science disciplines and beyond, this is a must to help you enhance your research project. This edition introduces: a decolonisation of methodologies a range of indigenous, queer and feminist perspectives on methodologies assistance with defending a viva and alternative forms of assessment to suit a changing world. More additions to this seventh edition include a section on the subjectivity of a researcher, and how your identity will shape your research. The further reading has been curated to include more than just western voices, providing you with global perspectives on qualitative research. This text introduces how to sensitively undertake ethical and inclusive research with marginalised groups. This book will help you master a comprehensive understanding of qualitative research.Trade ReviewProfessor Uwe Flick has been a leading qualitative methodologist in the social sciences for decades. His methods texts reflect his considerable talent for presenting complex concepts and approaches in a thorough and accessible manner. This latest text is no exception. -- Darrin HodgettsAn Introduction to Qualitative Research is a comprehensive guide to the qualitative research process written by an accomplished expert in the field. Uwe Flick is relentless in his efforts and ambition to spread knowledge about a rich research tradition that is continually evolving and refined within the social sciences. It is a volume with both breadth and depth containing what you need to know about qualitative research to be able to try it out. Also more experienced qualitative researchers will find this text valuable and insightful. By covering different research traditions and the use of many examples from real research, the author points out a variety of vital themes for qualitative research and captures its richness. -- Katarina JacobssonIn the 7th edition of his well-proven Introduction to Qualitative Research the marked expert on qualitative Research, Prof. Flick, has upgraded the scope of his thoroughly basic textbook (e.g.: actual debates on post-colonial perspectives, mixed-methods, qualitative online research). A special merit of the Introduction is, that students get a feeling of what qualitative research is about: many well conditioned didactically examples of classic studies as well as of Flicks and his students´ own research encourage students to do their first steps in Qualitative Research. -- Ernst von KardorffA gentle, supportive, engaging guidebook to the complex terrain of qualitative research. I recommend this book to students because it introduces key debates without jargon, and provides a practical scaffolding for one’s own research design by synthesising each chapter’s learning in a series of critical questions. -- Flora CornishTable of ContentsPart 1: Foundations of Qualitative Research Chapter 1: Why and How to Do Qualitative Research Chapter 2: The Qualitative–Quantitative Distinction Chapter 3: Theoretical Frameworks Chapter 4: Methods and Data in Qualitative Research Chapter 5: Subjectivity, Identity, and Texts in Qualitative Research Part 2: Research Design Chapter 6: Formulating a Research Question Chapter 7: Choosing and Constructing the Research Design Chapter 8: Planning the Process in Qualitative Research Chapter 9: Ethics of Doing Qualitative Research Chapter 10: Using The Existing Literature Chapter 11: Access, Fields Relations, and Participatory Research Chapter 12: Sampling Chapter 13: Qualitative Designs with Multiple Methods Part 3: Verbal Data Chapter 14: Collecting Verbal Data Chapter 15: Doing Interviews Chapter 16: Doing Focus Groups Chapter 17: Using Narrative Data Part 4: Data Beyond Talk Chapter 18: Collecting Data Beyond Talk Chapter 19: Observation and Ethnography Chapter 20: Visual Data: Photography, Film and Video Chapter 21: Documents as Data and Secondary Data Analysis Chapter 22: Digital and Social Media Research Part 5: Qualitative Data Analysis Chapter 23: Analysing Qualitative Data Chapter 24: Transcription and Data Management Chapter 25: Grounded Theory Coding Chapter 26: Thematic Coding and Content Analysis Chapter 27: Analysing Naturally Occurring Data: Conversation and Discourse Chapter 28: Using Software in Qualitative Data Analysis Part 6: Grounding, Writing And Outlook Chapter 29: Quality of Qualitative Research: Criteria and Beyond Chapter 30: Writing Up and Assessment in Qualitative Research Chapter 31: State of the Art and the Future

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Book SynopsisIn order to successfully complete a research project on social issues, as part of your education or social science degree, you will need a confident understanding of often challenging and nuanced topics. This book provides an overview of how to approach researching issues relating to key social justice issues including: race, sex and gender, disability and mental health. It will help you to understand important concepts, how to avoid hidden biases and how to use appropriate terminology in each area. It combines this thematic approach with accessible guidance on the research process, from initial design and formulating your research question, through to data collection and analysis. Helena Gillespie is Professor of Learning and Teaching in Higher Education at the University of East Anglia.Table of ContentsPart 1: Introduction To Part 1 Of Researching Equality And Social Justice Chapter 1: Researching Social And Economic Status Chapter 2: Researching Sex, Gender And Sexuality Chapter 3: Researching Race And Ethnicity Chapter 4: Researching Disability And Special Educational Needs Chapter 5: Researching Mental Health Chapter 6: Researching The Sustainable Development Goals Part 2: Introduction to Part 2 Chapter 7: Starting Out Chapter 8: Being Ethical Chapter 9: The Project Design Chapter 10: Data Gathering Tools Chapter 11: Using Literature Chapter 12: Making Sense Of Your Findings

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Book SynopsisA striking exposé of the insidious business practices that have generated enormous profits for the companies operating within the UK's gambling industry.'A methodical, sensitive and occasionally harrowing polemic about the gambling industry . . . The book has echoes of Patrick Radden Keefe's award-winning Empire of Pain.'SUNDAY TIMES'A serious attempt to grapple with the extent of Britain's problem.'THE SPECTATOR'Persuasive.' FINANCIAL TIMES'Fascinating.' IRISH TIMES'Eye-opening.' TELEGRAPH***716: the number of gambling logos displayed in a single Premier League football match£421 MILLION: the salary of Bet365's CEO in 2020.£14 BILLION: the annual losses incurred by British gamblers.Over half of the population gambles in the UK every year. How did we get here? What keeps us hooked when the odds are so heavily stacked against us? And who are the real winners and losers?Jackpot dives deep into gambling's seedy underbelly to answer these questions, and many more. From the first National Lottery draw in 1569 to the Wild West of today's online casinos, Guardian reporter Rob Davies follows the money to show who profits - and at what cost.

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